In the First Round of Returning to Work, Which Cities Are Under the Greatest Pressure of Epidemic Spread?

Since February 10, many provinces have officially resumed work. However, when the epidemic has not yet been lifted, the flow of people returning to work will inevitably cause virus import pressure to the provinces with large population inflows. In this regard, the use of big data analysis and targeted prevention and control have become a powerful weapon in the fight against the epidemic in various places.

At present, all regions are continuing to strictly prevent and control the epidemic while gradually resuming work and production to ensure stable economic operation.

The resumption of work has brought about a wave of returning to work. Although the scale of this year's return to work wave has been reduced compared with previous years, the number of people still exceeds 100 million.The infection risks brought by population movement cannot be ignored.

By comparing big data with the epidemic map, it can be found that the urban distribution of confirmed cases of new coronary pneumonia is correlated with the size of the floating population.

Therefore, during the rework period, weMigrating big dataLet's find out which cities are popular destinations for migration recently and have the greatest pressure from the spread of the epidemic? How can local governments use big data to more effectively prevent the risk of the spread of the epidemic?

Ranking of number of people returning to work: Dongguan ranks first

Since entering the work resumption phase, according to Baidu's migration data, a peak in return to work began to appear from February 8 to 9.

Among all provinces in the country, Guangdong Province ranks first as the most popular destination for migration.Starting from February 7, the proportion of population migration in Guangdong Province increased from more than 10% to more than 20%. On February 9, the figure reached 26.59%.Far beyond other provinces.

By city,Dongguan City has the highest migration rate, reaching 5.92%, followed by Shenzhen City, Guangzhou City, Shanghai City and Beijing City.The migration rates were 5.47%, 5.16%, 4.93% and 3.64% respectively (data as of February 9).

Guangdong Province occupies 3 of the top five popular cities for migration. With a large influx of people, many cities in Guangdong Province are facing great pressure to prevent and control the epidemic.

Assessment of epidemic spread pressure: Shenzhen faces the greatest pressure

According to big data,By combining the size of the local influx of population, the composition of its sources, and the severity of the epidemic in the source area, it is possible to quantitatively assess the epidemic prevention pressure that the influx cities face.

Taking Shanghai as an example, the flow of people returning to work in Shanghai mainly comes from Nantong, Jiangsu, Fuyang, Anhui, Xinyang, Henan and other places.

Based on these data and the calculation formula:Epidemic pressure = Σ the scale of migrants returning to work (10,000 people) × the proportion of each source × the severity of the epidemic in each source,The epidemic pressure in Shanghai can be calculated.

The calculation results in the report of Zhongtai Securities Research Institute show that in the popular cities for the return to work rush,Shenzhen is under the greatest pressure, followed by Dongguan, Shanghai, Guangzhou, Suzhou, Beijing, Hangzhou, Ningbo, Wenzhou, Foshan, etc.

Therefore, cities with high population mobility, such as Shenzhen, will face the pressure of the resurgence of the epidemic during the return-to-work rush, and will need to take a variety of measures to strictly prevent and control it.

Relying on big data, we can analyze the epidemic situation and do a good job in prevention and control

In this war without gunpowder, the role of big data has been verified. Faced with the pressure of epidemic spread brought by the return to work tide, various places can learn from some experience in time to fight this "epidemic" well.

In the "News Broadcast" on February 10, Chen Guangsheng, executive deputy director of the Zhejiang Provincial New Coronavirus Pneumonia Prevention and Control Office, introduced that big data played an important role in the fight against the epidemic.

On the 29th day of the lunar year (January 23),Zhejiang Province was the first province in the country to launch a level-one response to a major public health emergency based on big data.

In the near future, in order to promote the resumption of work, Zhejiang Province still relies on big data.In the fight against the epidemic, we used the "big data + grid" method to analyze the epidemic, take the "first move", and gradually and orderly resume production.

Zhejiang Province uses big data to analyze information such as the distribution of crowd gathering hotspots and cross-regional population movement, predict the development trend of the epidemic in advance, and guide the rational allocation of medical resources.

at the same time,Through data retrospective analysis, relevant departments can identify suspected patients and close contacts as early as possible, which helps to isolate and cut off the source of infection in a timely manner.

In this battle against the epidemic, whether it is tracking the source and destination of cases or helping to judge the epidemic, it has confirmed the information advantage and key role of big data in epidemic prevention and control. In the future, big data will surely contribute more in all aspects.

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